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Variations in morphology and patency of disposable hydrodissection cannulas used in cataract surgery

2025· article· en· W4412073021 on OpenAlexaff
Shwetha Mudalegundi, Melissa Yao, Jesse Chew, Neil Kelkar, Kevin Eid, Jesus Paulo Perez, Ethan Driffill, Nick Mamalis, Liliana Werner

Bibliographic record

VenueJournal of Cataract & Refractive Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsProvidence Health Care
FundersNational Eye Institute
KeywordsCannulaMedicinePort (circuit theory)Scanning electron microscopeSurgeryBiomedical engineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

PURPOSE: To perform a detailed laboratory assessment of the variability in morphology (shape of opening port and surface finishing) and patency of Chang-style hydrodissection cannulas used in cataract surgery. SETTING: John A. Moran Eye Center, University of Utah, Salt Lake City, Utah. DESIGN: Experimental study. METHODS: 44 disposable cannulas from 3 different manufacturers were evaluated in this study. 17 cannulas were primed with solution and then underwent analyses under gross and light microscopy. 27 other cannulas were directly removed from the package and underwent the same abovementioned analyses, before priming. Selected cannulas from the 3 manufacturers were also evaluated under scanning electron microscopy and surface analyses for elemental composition. RESULTS: There was variability in all parameters evaluated in this study, including opening ports that were irregular in shape, partially or totally blocked, and a cannula with a second, lateral opening port. The surface finishing of the tips of the cannulas was also variable, with cannulas exhibiting irregular and/or sharp edges, as well as what seemed to be debris/residues. Fluid streams obtained with the cannulas also varied, and although some cannulas produced a normal stream, others produced a weak stream, no stream, or double stream. All cannulas were composed of stainless steel, and debris/residues seemed to correspond to organic residues. CONCLUSIONS: The findings in this study raise concerns about potential damage to the capsule and toxic anterior segment syndrome. Priming before use in surgery is advisable to confirm appropriate fluid flow.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.284
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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